Recursive ships Flint, a laptop coding model it confirms was largely created by AI
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Recursive, an AI startup founded last year, is starting to live up to its name.
Key facts
- The company emerged from stealth in May with $650 million in funding at a $4.65 billion valuation, from backers including GV, Nvidia, and AMD Ventures
- On SWE-Bench Verified, a benchmark that measures how well AI can fix real-world software bugs, Flint outperformed other models under 50 billion parameters
- Flint is a mixture-of-experts model, meaning it uses only a small slice of itself for any given task: 2.5 billion of its 40 billion settings, known as parameters, at a time
- Muse Spark Open uses 816 billion parameters and needs at least a terabyte of memory
Summary
Recursive’s automated research system, which it calls the Eureka Machine, helped with nearly every step of Flint’s development, the company says. Flint is an early public test of recursive self-improvement: the idea that AI can build better AI, which in turn builds even better AI. The company emerged from stealth in May with $650 million in funding at a $4.65 billion valuation, from backers including GV, Nvidia, and AMD Ventures. Because Flint runs on a user’s own computer rather than a company’s cloud servers, developers can use it offline, keep their code private, and avoid the usage fees that AI cloud services charge based on how much text the model processes.